Author

L. Arboit

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Open access Sep 2026

AI assistance enables surgical residents to accurately annotate anatomical structures in laparoscopic surgery

Background The development of artificial intelligence in surgery is limited by the scarcity of annotated datasets. Recent advances in medical image segmentation, such as the Medical Segment Anything Model (MedSAM), may facilitate efficient annotation of surgical videos by residents. Methods Eight surgical residents a...

Antonio S. Soares, L. Castro, Patricia Martins et al. · Scientific Reports · 0 citations

#artificial intelligence Preprint Sep 2026

A Surgical Foundation Model Reveals Task-Dependent Label Efficiency

Developing label-efficient models is a central challenge in surgical AI due to the high cost and scarcity of expert annotation. While self-supervised foundation models adapt well to new tasks with minimal data, how label efficiency varies across different surgical tasks remains largely unexplored. Here, we introduce SU...

F. Stilz, L. Arboit, V. Srivastav et al. · 0 citations